H34D-05:
Groundwater Estimation Using Remote Sensing Data on a Catchment Scale in New Zealand

Wednesday, 17 December 2014: 5:00 PM
Rogier Westerhoff, Deltares, Delft, Netherlands and Qiaozhen Mu, Univ of Montana-NTSG, Greenbelt, MD, United States
Abstract:
Long-term time series of satellite evapotranspiration (ET) were trialled for their additional value in aquifer characterisation on the catchment scale in New Zealand. In a simple chain-of-events approach yearly natural groundwater recharge was calculated with a 1x1km resolution. The chain consisted of (1) rainfall; (2) runoff due to slope; (3) actual ET; (4) soil permeability and water holding capacity; and (5) hydraulic conductivity of the deeper geology. As ET is a large part of the water balance (in New Zealand on average appr. 50% of rainfall), high resolution and high quality ET data is important for estimating groundwater recharge.

Most global satellite data already embed a pseudo-model with coarse, global, input data. An example is ET data from the MODIS MOD16 product: although the spatial footprint of the satellite data is 1x1 km, input data to calculate ET contains global meteorology data. These data do not capture the extreme diversity in the New Zealand climate, where yearly rainfall and ET can change considerably over small distances. However, enough national ground-observed data are available to improve the MOD16 data. We improved monthly MOD16 ET by using the satellite data pattern as an interpolator between approximately 80 ground stations. Simple least squares fitting gave the best result. The added value of satellite data is obvious: the corrected MOD16 ET data have much higher spatial resolution and vegetation cover and growth is taken into account better.

We then used national data to estimate 1x1km natural groundwater recharge: the corrected MOD16 PET and AET, in-situ based precipitation models; soil maps; geology maps; and (satellite-based) elevation. Validation with lysimeters and existing sub-catchment model output data looks promising, and further improvement with satellite soil moisture to estimate monthly recharge is underway.

This work was done in the SMART Aquifer Characterisation (SAC) programme, a six-year research project funded by the New Zealand Ministry of Business, Innovation en Employment.

Figure: Mean annual 1x1km PET (2000-2012) from MODIS MOD16 data, corrected for ground stations.